Related references
Note: Only part of the references are listed.Datamining approaches for modeling tumor control probability
Issam El Naqa et al.
ACTA ONCOLOGICA (2010)
A Bayesian network approach to feature selection in mass spectrometry data
Karl W. Kuschner et al.
BMC BIOINFORMATICS (2010)
Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy
K. Jayasurya et al.
MEDICAL PHYSICS (2010)
A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model
Wade P. Smith et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2009)
Improved mammographic CAD performance using multi-view information: a Bayesian network framework
Marina Velikova et al.
PHYSICS IN MEDICINE AND BIOLOGY (2009)
Is pre-therapeutical FDG-PET/CT capable to detect high risk tumor subvolumes responsible for local failure in non-small cell lung cancer?
Andrij Abramyuk et al.
RADIOTHERAPY AND ONCOLOGY (2009)
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers
Ruben Armananzas et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2008)
Statistical modeling of tumor control probability for non-small-cell lung cancer radiotherapy
Y. Mu et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2008)
Dynamic Bayesian networks as prognostic models for clinical patient management
Marcel A. J. van Gerven et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2008)
A Robust Approach for Estimating Tumor Volume Change During Radiotherapy of Lung Cancer
I. ElNaqa et al.
MEDICAL PHYSICS (2008)
Cytokine Plasma Levels: Reliable Predictors for Radiation Pneumonitis?
Claudia E. Ruebe et al.
PLOS ONE (2008)
Retrospective Monte Carlo dose calculations with limited beam weight information
Patricia E. Lindsay et al.
MEDICAL PHYSICS (2007)
Using biological markers to predict risk of radiation injury
Katharina Fleckenstein et al.
SEMINARS IN RADIATION ONCOLOGY (2007)
Dose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationships
I. El Naqa et al.
PHYSICS IN MEDICINE AND BIOLOGY (2006)
An effective structure learning method for constructing gene networks
Xue-wen Chen et al.
BIOINFORMATICS (2006)
An evaluation of tumor oxygenation and gene expression in patients with early stage non-small cell lung cancers
QT Le et al.
CLINICAL CANCER RESEARCH (2006)
Phase II multicenter study of induction chemotherapy followed by concurrent efaproxiral (RSR13) and thoracic radiotherapy for patients with locally advanced non-small-cell lung cancer
H Choy et al.
JOURNAL OF CLINICAL ONCOLOGY (2005)
Bayesian network modelling through qualitative patterns
PJF Lucas
ARTIFICIAL INTELLIGENCE (2005)
CERR: A computational environment for radiotherapy research
JO Deasy et al.
MEDICAL PHYSICS (2003)
Floating search algorithm for structure learning of Bayesian network classifiers
F Pernkopf et al.
PATTERN RECOGNITION LETTERS (2003)
Share Paper
